Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/9952#discussion_r46861700
--- Diff: docs/mllib-clustering.md ---
@@ -718,6 +718,34 @@ sameModel = LDAModel.load(sc, "myModelPath")
</div>
+## Bisecting k-means
+
+Bisecting k-means is a kind of [hierarchical
clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering).
+Hierarchical clustering is one of the most commonly used method of
cluster analysis which seeks to build a hierarchy of clusters.
+Strategies for hierarchical clustering generally fall into two types:
--- End diff --
Before this line (which is getting into details), it would be good to give
a high-level description of the use of bisecting k-means. E.g., "Bisecting
K-means can often be much faster than regular K-means, but it will generally
produce a different clustering."
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